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Ahmad Ghandour

Researcher at Al Ain University of Science and Technology

Publications -  45
Citations -  269

Ahmad Ghandour is an academic researcher from Al Ain University of Science and Technology. The author has contributed to research in topics: Raman spectroscopy & Carbon nanotube. The author has an hindex of 8, co-authored 41 publications receiving 210 citations. Previous affiliations of Ahmad Ghandour include University of Otago & Lebanese International University.

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Ecommerce website value model for smes

TL;DR: Ghandour et al. as mentioned in this paper presented an empirically proven intuitive e-commerce website operational model that offers managers a comprehensive way of understanding their website operation, and the model premise is simple: the achievement of operational excellence will lead to improved financial performance.
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High pressure Raman spectroscopy of single-walled carbon nanotubes: Effect of chemical environment on individual nanotubes and the nanotube bundle

TL;DR: In this paper, the authors studied the impact of different solvents on the pressure-induced tangential mode Raman peak shifts for single-walled carbon nanotubes (SWNTs) and found that SWNTs appear unaffected by hydrostatic pressures up to 0.7 GPa.
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Using Learning Analytics to Predict Students Performance in Moodle LMS

TL;DR: The study concludes that LMSs can be used to pre-dict students' success and stimulate better results during the study, and reveals that gender affiliation correlates with the overall perfor-mance but does not affect the selection of training materials.
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High-pressure Raman response of single-walled carbon nanotubes: Effect of the excitation laser energy

TL;DR: In this paper, high-pressure Raman experiments on the tangential vibrational modes of CarboLex bundled single-walled carbon nanotubes up to 6.5 GPa using two different excitation energies: 1.96 and 2.41 eV.

Measuring eCommerce Website Success

TL;DR: A research model is presented, which is built on communication theory and DeLone and McLean’s information system model, to identify eCommerce website success dimensions, aiming to make a contribution to literature by identifying and incorporating dimensions of success relevant to eCommerce websites.